Lu Qi   Email: qqlu1992 [at] gmail.com

Biography[CV]

I spent two wonderful years as a research scholar at the EECS Department of UC Merced, advised by Prof. Ming-Hsuan Yang. I finished my Ph.D. and M.E. degrees at The Chinese University of Hong Kong (supervised by Prof. Jiaya Jia) and the Institute of Automation of The Chinese Academy of Sciences (supervised by Prof. Hong Qiao). I obtained a B.E. degree in Automation and a B.S. dual degree in Financial Mathematics from Shandong University in 2014.

I am an area chair of many top conferences, such as NeurlPS2024, ICLR2024, and AAAI2023/2024/2025. My research interests cover the unified model of low-level vision, generation, and open-world recognition.

Publications[Google Scholar]

• Generalizable Entity Grounding via Assistance of Large Language Model
  Lu Qi, Yi-Wen Chen, Lehan Yang, Tiancheng Shen, Xiangtai Li, Weidong Guo, Yu Xu, Ming-Hsuan Yang.
  Arxiv, (Arxiv), 2024.
  
• UniGS: Unified Representation for Image Generation and Segmentation
  Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2024
  
• AIMS: All-Inclusive Multi-Level Segmentation for Anything
  Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang.
  Thirty-seven Conference on Neural Information Processing Systems, (NeurIPS Spotlight), 2023.
  
• High-Quality Entity Segmentation
  Lu Qi, Jason Kuen, Tiancheng Shen, Weidong Guo, Jiuxiang Gu, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang.
  International Conference on Computer Vision, (ICCV Oral), 2023
  
• CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
  Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia.
  17th European Conference on Computer Vision, (ECCV), 2022
  
• Open-World Entity Segmentation
  Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip Torr, Zhe Lin, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2022
  
• PointINS: Point-based Instance Segmentation
  Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2021
  
• Multi-Scale Aligned Distillation for Low-Resolution Detection
  Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021
  
• Amodal Instance Segmentation through KINS Dataset
  Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
  
• Sequential Context Encoding for Duplicate Removal
  Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
  Thirty-second Conference on Neural Information Processing Systems, (NeurIPS), 2018.
  
• Path Aggregation Network for Instance Segmentation
  Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight Presentation)
  Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track
  Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track
  Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
  
• PalGAN: Image Colorization with Palette Generative Adversarial Networks
  Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao.
  17th European Conference on Computer Vision, (ECCV), 2022
  
• MAT: Mask-Aware Transformer for Large Hole Image Inpainting
  Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022
  Best Paper Finalist
  
• High Quality Segmentation for Ultra High-resolution Images
  Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022
  
• Scale-aware Automatic Augmentations for Object Detection with Dynamic Training
  Yukang Chen, Peizhen Zhang, Tao Kong, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2022
  
• Fully convolutional networks for panoptic segmentation with point-based supervision
  Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2022
  
• Best-Buddy GANs for Highly Detailed Image Super-Resolution
  Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu.
  Thirty-Sixth AAAI Conference on Artificial Intelligence, (AAAI), 2021
  
• CANet: Co-attention Network for RGB-D Semantic Segmentation
  Hao Zhou, Lu Qi, Hai Huang, Xu Yang, Zhaoliang Wan, Xianglong Wen.
  Pattern Recognition, (PR), 2021
  
• Image Synthesis via Semantic Composition
  Yi Wang, Lu Qi, Yingcong Chen, Xiangyu Zhang, Jiaya Jia.
  International Conference on Computer Vision, (ICCV), 2021
  
• ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
  Ruihang Chu, Yukang Chen, Tong Kong, Lu Qi, Lei Li.
  IEEE Robotics and Automation Letters, (RAL), 2021
  
• Scale-aware Automatic Augmentation for Object Detection
  Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021
  
• LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
  Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia.
  Thirty-fourth Conference on Neural Information Processing Systems, (NeurIPS), 2020
  
• RGB-D Co-attention Network for Semantic Segmentation
  Hao Zhou, Lu Qi, Zhaoliang Wan, Hai Huang, Xu Yang.
  15th Asian Conference on Computer Vision, (ACCV), 2020
  
• MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
  Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia.
  16th European Conference on Computer Vision, (ECCV), 2020
  

Competitions

• No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
  
• No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track | slides
  
• No. 2 of COCO 2017 Detection Challenge in Object Detection Track
  
• No. 1 of LSUN'17 Instance Segmentation Challenge
  
• No. 3 of SpaceNet Challenge in Topcoder 2017
• No. 4 of Bike Sharing Demand in Kaggle 2014

Professional Activities

• Program Committees:
Area Chair for NeurlPS 2024.
Area Chair for ICLR 2024.
Senior Program Committee Member for AAAI 2023/2024/2025.

• Conference Review:
International Conference on Computer Vision and Pattern Recognition (CVPR).
International Conference on Computer Vision (ICCV).
European Conference on Computer Vision (ECCV)
Neural Information Systems Processing Conference (NeurIPS)
Internation Conference on Learning Representations (ICLR).
AAAI Conference on Artificial Intelligence (AAAI).

• Journal Review:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
International Journal of Computer Vision (IJCV).
IEEE Transaction on Image Processing (TIP).
IEEE Robotics and Automation Letters (RAL).

Honors & Awards

Hong Kong Ph.D. Fellowship (231 candidates in Hong Kong)	2017-2021
The President Scholarship of Shandong University (highest honor)	2013
Baogang Steel Scholarship (top 0.5%)	2013
Excellent Student in Shandong Province	2013
National Scholarship (thrice)	2011-2013

Research Experiences

• Visitor | University of Oxford, Oxford | Jan 2021 – Jul 2021
  Mentor: Dr. Hengshuang Zhao and Prof. Philip Torr
  Topic: Hand Parsing and Reconstruction
  
• Remote Collaboration | Adobe Research, Hong Kong | Jun 2020 – Jan 2021
  Mentor: Dr. Jason Kuen, Dr.Jiuxiang Gu and Dr. Zhe Lin
  Topic: General Detection and Segmentation
  
• Research Intern | Megvii Technology (Face++), Beijing | June 2019 – May 2020
  Mentor: Dr. Xiangyu Zhang
  Topic: Object Detection and Instance Segmentation
  
• Research Intern | Youtu Lab, Tencent, Shenzhen | May 2018 – May 2019
  Mentor: Dr. Shu Liu and Dr. XiaoYong Shen
  Topic: Instance Segmentation for Autonomous Driving
  
• Research Intern | SenseTime, Beijing | Nov. 2016 – Oct. 2017
  Mentor: Dr. Jianping Shi
  Topic: Instance Segmentation with RGB Data
  

Teaching

CSCI1120 Introduction to C++	Fall	2019-2020
CSCI2100B Data Structure	Spring	2018-2019
ENGG1100 Introduction to Engineering Design	Fall	2018-2019
CSCI3120 Compile Construction	Spring	2017-2018